├─大数据商业实战项目
│&nBSp;&nBSp;├─01-车车智能营销分析sql项目
│&nBSp;&nBSp;│&nBSp;&nBSp;├─代码
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;01-用车智能营销数据分析系统
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;02-品牌上下线管理
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;03-用户画像标签建立
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;04-用车消费能力
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;IMport_to_MySQL.sh
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;MySQL建表语句
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;
│&nBSp;&nBSp;│&nBSp;&nBSp;├─数据
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;car_type_data.sql
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;city_data.sql
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;Excel经典数据项目.xlsx
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;Goods_upper_and_lower_data.sql
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;order_basic_data.sql
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;order_channel_data.sql
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;order_class_data.sql
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;order_service_type_data.sql
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;order_source_type_data.sql
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;order_taken_type_data.sql
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;user_layer_data.sql
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;下单设备平台数据.csv
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;分层数据.csv
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;商品上下线智能化管理数据.csv
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;城市信息数据.csv
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;手机号加密数据.csv
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;接单类型-自营数据.csv
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;服务类型数据.csv
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;用户基础数据.csv
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;用户订单基础数据.csv
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;订单分类数据.csv
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;订单来源-自营数据.csv
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;车型维度表数据.csv
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;
│&nBSp;&nBSp;│&nBSp;&nBSp;├─视频
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;01-车车智能营销分析项目.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;02-车车智能营销分析项目.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;
│&nBSp;&nBSp;│&nBSp;&nBSp;└─课件+笔记
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp; 用车数据ER实体模型.eddx
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp; 用车数据ER实体模型截图.pdf
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp; 用车智能营销数据分析系统-设计文档.docx
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp; 用车智能营销数据分析系统-设计文档.pdf
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp; 系统表结构设计
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp;
│&nBSp;&nBSp;└─02-双11电商网站用户行为分析项目
│&nBSp; &nBSp;&nBSp; &nBSp;├─代码
│&nBSp; &nBSp;&nBSp; &nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;user_behavior_analysis.IPynb
│&nBSp; &nBSp;&nBSp; &nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;用户行为漏斗模型.PBix
│&nBSp; &nBSp;&nBSp; &nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;
│&nBSp; &nBSp;&nBSp; &nBSp;├─数据
│&nBSp; &nBSp;&nBSp; &nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;user_beha_data.csv
│&nBSp; &nBSp;&nBSp; &nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;user_beha_res_data.csv
│&nBSp; &nBSp;&nBSp; &nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;
│&nBSp; &nBSp;&nBSp; &nBSp;├─视频
│&nBSp; &nBSp;&nBSp; &nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;双11电商网站用户行为分析-项目实战.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;
│&nBSp; &nBSp;&nBSp; &nBSp;└─课件+笔记
│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;双11电商网站用户行为分析项目.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;课堂笔记.sql
│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;
├─大数据进阶版（视频）
│&nBSp;&nBSp;├─视频
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;Auc的二种计算方式以及fm.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;Auc细讲.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;Combiner.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;DNN+线性不可分+tf实现dnn.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;Dssm源码分析.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;Embedding设计以及fm源码解析.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;FM的优化逻辑.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;HADoop+hdfs.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;HADoop+maPreduce.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;HADoop+maPreduce深度分析.avi
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;HADoop完结.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;HADoop实现k-means.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;Hive函数.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;Hive开端.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;Item2vector.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;Kmeans聚类算法+聚类推荐.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;LR处理离散特征onehot+onehotmap.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;Tfidf+item2vector+hnsw实现极速召回.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;代码解析spark+python.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;分类问题+lr.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;回顾+基于用户的协同过滤.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;回顾+标准化_归一化.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;基于模型的推荐系统复习+机器学初识.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;基于物品的协同过滤+业界应用.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;多路召回融合+权重动态分配.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;引入用户物品偏执的lfm模型.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;模型评价指标.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;用户物品矩阵分解原理.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;知识回顾+基于物品的协同过滤.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;算法前的数据格式说明.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;聚类算法详解.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;逻辑回归实现的两种方式tf+sklearn.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;
│&nBSp;&nBSp;└─课件
│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp; 01-hADoop+hdfs.PPTx
│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp; 02-hADpop+MaPreduce.PPTx
│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp; 03-hADoop案例分析.PPTx
│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp; 04-yarn.PPTx
│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp; 05-数据类型以及常用数据处理.PPTx
│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp; 06-hive大数据利器.PPTx
│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp; 07-hive优化.PPTx
│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp;
├─手把手教你-基础视频
│&nBSp;&nBSp;│&nBSp;&nBSp;【01】linux安装.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;【02】环境准备nat配置.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;【03】HADoop集群搭建-1.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;【04】HADoop集群搭建-2.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;【05】python初步.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;
│&nBSp;&nBSp;└─python初步-代码
│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp; python_test.tgz
│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp;
├─数据可视化（涵盖数据）
│&nBSp;&nBSp;├─数据
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;Excel函数使用.xlsx
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;Excel基本使用.xlsx
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;Excel数据透视表和可视化.xlsx
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;导入文本数据.txt
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;
│&nBSp;&nBSp;├─视频
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;01-描述统计分析.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;02-描述统计分析.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;03-描述统计分析.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;04-描述统计分析.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;Excel01-初阶.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;Excel02-高阶.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;Excel03-高阶.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;Excel04-高阶.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;
│&nBSp;&nBSp;└─课件
│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp; 数据全栈分析.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp;
├─数据扩展相关书籍（英文版）
│&nBSp; &nBSp;&nBSp; &nBSp;attention is all you need.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;Attentional Factorization Machines Learning the Weight of Feature Interactions via Attention Networks.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;Deep &AMp; Cross Network for AD Click Predictions.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;Deep interest network.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;Deep Reinforcement Learning for List-wise Recommendation.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;Deepfm.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;DRN A Deep Reinforcement Learning FrAMework for News Recommendation.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;Entire Space Multi-Task Model An E ective ApProach for EstIMating Post-Click Conversion Rate.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;Facebook-GBDT-LR.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;linucb.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;MLR.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;Neural Factorization Machines for Sparse Predictive Analytics.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;Product-based Neural Networks for User Response Prediction.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;wide&AMp;Deep.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;
├─求职优质简历模版案例
│&nBSp; &nBSp;&nBSp; &nBSp;【Java高级研发工程师】(1).pdf
│&nBSp; &nBSp;&nBSp; &nBSp;【大数据_HADoop开发工程师】.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;【大数据平台工程师】D.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;【大数据开发工程师A.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;【大数据开发工程师】B.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;【大数据开发工程师】E.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;【大数据研发工程师】H.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;【高级研发工程师】F.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;大数据实习简历.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;大数据开发+数仓简历4.docx
│&nBSp; &nBSp;&nBSp; &nBSp;大数据开发+算法简历5.docx
│&nBSp; &nBSp;&nBSp; &nBSp;大数据开发简历1.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;大数据开发简历2.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;大数据开发简历6.doc
│&nBSp; &nBSp;&nBSp; &nBSp;
├─求职面试真题含答案
│&nBSp; &nBSp;&nBSp; &nBSp;大厂面试01.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;大厂面试02.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;大厂面试03.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;面试真题目录.docx
│&nBSp; &nBSp;&nBSp; &nBSp;高频面试题.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;
├─算法商业配套项目
│&nBSp; &nBSp;&nBSp; &nBSp;项目案例01.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;项目案例02.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;项目案例03.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;项目案例04.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;
├─算法经典书籍（中文版）
│&nBSp; &nBSp;&nBSp; &nBSp;MySQL_5.5中文参考手册.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;NumPy学习指南（第2版）.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;Pandas官方文档中文版.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;python3.10官方文档中文版.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;python进阶资料.zIP
│&nBSp; &nBSp;&nBSp; &nBSp;[图灵程序设计丛书].Spark高级数据分析.第2版.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;[图灵程序设计丛书].干净的数据：数据清洗入门与实践.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;[图灵程序设计丛书].数据分析实战.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;[图灵程序设计丛书].数据科学入门.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;[图灵程序设计丛书].数据科学实战.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;[图灵程序设计丛书].鲜活的数据：数据可视化指南.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;天猫推荐算法.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;推荐系统实践.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;机器人建模和控制.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;算法新解-刘新宇.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;项亮-推荐系统实践.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;
├─算法高阶版（视频含代码）
│&nBSp;&nBSp;├─代码.zIP
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp;
│&nBSp;&nBSp;├─笔记
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;transformer-02.drawio
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;transformer-笔记01.drawio
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;Word2-笔记01.drawio
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;Word2-笔记02.drawio
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;协同过滤-01.drawio
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;协同过滤-02.drawio
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;双塔模型-01.drawio
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;双塔模型-02.drawio
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;召回-01.drawio
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;召回-02.drawio
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;基于模型召回-01.drawio
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;基于模型召回-02.drawio
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;特征工程-01.drawio
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;特征工程-02.drawio
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;
│&nBSp;&nBSp;├─视频
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;Word2vector01.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;Word2vector02.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;Word2vector03代码分析.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;协同过滤业界问题+代码.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;回顾+协同过滤理论.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;如何根据用户行为生成物品的item2vector.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;推荐系统架构.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;推荐系统简介.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;深度模型的dssm召回.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;问题解答.mp4
│&nBSp;&nBSp;│&nBSp; &nBSp;&nBSp; &nBSp;
│&nBSp;&nBSp;└─课件
│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp; 01-推荐系统.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp; 02-推荐系统架构.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp; 03-推荐算法_协同过滤_kmenas聚类.pdf
│&nBSp; &nBSp;&nBSp; &nBSp;&nBSp; &nBSp;
└─绘图相关工具
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;draw.io-12.3.2-windows-no-INStaller.exe

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